Research on misinformation has expanded rapidly, yet a significant gap remains in understanding how political journalism —especially fact-checking agencies— employs artificial intelligence across diverse sociopolitical contexts. Existing literature has already identified concrete impacts, such as the fact that most digital technologies used in verification are not originally designed for these purposes. The political and structural characteristics of media systems significantly influence fact-checking practices: levels of political parallelism, journalistic professionalization, and state intervention influence not only how fact-checkers operate but also how they position themselves as political actors, even though there are normative guidelines promoted by international organizations that aim to standardize this kind of activity. This context leads to the following research question: How have different countries employed AI to counter political misinformation? To broaden the geopolitical scope, this study selected cases aligned with the typology of media systems proposed by Hallin and Mancini (2004), also including countries representing alternative models that update this classification, such as the Central Eastern European model. The cases analyzed were Italy, the United Kingdom, Germany, and Poland. Based on a set of 28 semi-structured interviews with fact-checking professionals from these countries, preliminary findings reveal the diffusion of standardized practices when dealing with debunking misinformation, such as the broad use of large language models for drafting and revising texts. However, transparency regarding the role and timing of AI within workflows varied significantly, reflecting journalists’ concerns about devaluing their professional authority—an issue closely tied to the political recognition journalism holds within each media system.